{"id":"W6884654775","doi":"10.11575/prism/43219","title":"Heterogeneity in Immigrants’ Municipal Engagement and Participation in Calgary","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; University of Calgary","keywords":"Immigration; Politics; Voting; Government (linguistics); Local government; Immigration policy; Civic engagement","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001674761,0.0002071423,0.0005617359,0.001271068,0.005548428,0.003586082,0.001240622,0.0007348379,0.00598926],"category_scores_gemma":[0.00530192,0.0002926111,0.000323962,0.003021202,0.001751895,0.001041541,0.004075615,0.001373968,0.0004276276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009075319,"about_ca_system_score_gemma":0.005352532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7734156,"about_ca_topic_score_gemma":0.8900311,"domain_scores_codex":[0.9982051,0.0004122947,0.00008427874,0.0002419101,0.0002468275,0.0008097084],"domain_scores_gemma":[0.9975133,0.0005327972,0.0006526026,0.0001655747,0.0003358121,0.0007999355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001321852,0.00007740123,0.8686867,0.00007776185,0.00008132291,0.000434945,0.1048566,0.0001830502,0.0003301179,0.002082491,0.00296425,0.02009309],"study_design_scores_gemma":[0.000005238481,0.00001791032,0.8892888,0.0001051329,0.0000128233,0.00003634711,0.10732,0.0001291895,0.00003248401,0.0001708774,0.002865769,0.0000153613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964982,0.0002445336,0.000032671,0.000471419,0.000009276082,0.000009504412,0.0001438297,0.000002099198,0.002588401],"genre_scores_gemma":[0.99805,0.0002106594,0.00003964693,0.0001338384,0.000005302521,0.00001440201,0.0001847107,0.000004024308,0.001357356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2265844,"threshold_uncertainty_score":0.4558375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0934800483738955,"score_gpt":0.3820803497163305,"score_spread":0.288600301342435,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}